Technology

5 ways the IoT must improve to achieve Business success

The concept of IoT revolves around power of the internet and connected devices. This ever-growing technology is chaining up more and more users every day. Through the use of electronic tags like a barcode to the voice assistant based speakers, IoT is everywhere. Its application has broadly increased in households to industrial operations. But there are a few challenges which are needed to watch before its successful implementation.

Data Connectivity:

The data connectivity issue has vastly improved since the past few years, but still few significant areas of IoT needed to enhanced concerning its throughput and uses. These challenges can be involved with the data format generated during the interaction of IoT devices with a gateway over the cloud. Most of the IoT gateways are compatible to LAN, but these tools are dependent on programmable logic controllers, remote terminal units and other systems to generate information. So it requires the API’ s to translate the transport and data format protocols before sending data to the IoT platform. An appropriate and efficient combination of these protocols help you to go a long way in your business journey. Reliable data connectivity delivers the faster throughput in real-time operations.

Data Privacy:

Providing security for the information is the primary concern of an organisation. IoT creates various challenges to data privacy and most of them grows from the integrated devices into our premises without us carefully using them. This information flowed all over the network and stored in the data centre or cloud storage for future use. But the questions arises is, are these data secure? And you already know the answer is not. With the occurrence of various cyber attacks recently, organisations and consumers are concerned about data safety. So its IoT service providers responsibility to ensure data safety with their effective planning and policies for successful IoT implementation.

The problem is widespread with the consumers’ devices, such as smartphones, vehicles, and other devices. In other words, voice or face recognition, GPS like feature as an integrated part of these devices keeps track of our activities and sends data to the storage for processing. Sometimes these applications belong to third-party service provider and information is exchanged at their infrastructure. Collecting such information gives rise to legal and regulatory issues following data protection and policy.

Hardware Compatibility:

Most of the data captured through the sensors, transmitters, PLCs, etc., are interconnected to gateways for transmitting this information to the cloud. In the case of a legacy system without any PLCs or other sensors, the implementation of IoT becomes challenging and critical. Adding external gadgets like sensors to such legacy machine is not so complicated, but it’s not entirely reliable, making it a challenging task. So in IoT systems, identification of the compatible devices is highly recommended before implementation.

Data Analysis:

IoT devices generate a massive amount of data. Too often, most of these information lands unanalysed and without any use. Multiple technologies like artificial intelligence, machine learning, big data are increasingly used to analyse the data generated from IoT devices, to automated the decision-making stage in the organisational operations. These technologies can boost several IoT applications such as process automation, resource optimisation, predictive analytics and maintenance, scheduling, security etc., by analysing patterns and availing valuable insights to businesses. If you are attracted towards these innovative terms then you can join Machine Learning Course which delivers the deeper understanding and faster approach to land up in the area of success.

Customer Satisfaction:

There is no doubt that IoT is fulfilling its customer’s requirement very efficiently. But the concern is what will happen if somehow service provider fails in providing solutions in the future. Then who will be responsible for collecting those data and other maintenance, as one can not directly rely on the third party for these works? Because this way others will have direct access to their consumer’s personal activities and data through the smart home, devices. So it is the vendor’s responsibility to ensure the long-term commitment to their customers.

The above-discussed challenges are the major influencer in driving the pace of decision making for enterprises.